Personalized Course Recommendation System using Deep Learning
Deepali Vora1, Shonal Londhe2
1Prof. Deepali Vora, Department of Information Technology, Vidyalankar Institute of Technology, Mumbai (Maharashtra), India.
2Shonal Londhe, Department of Information Technology, Vidyalankar Institute of Technology, Mumbai (Maharashtra), India.
Manuscript received on 13 October 2019 | Revised Manuscript received on 22 October 2019 | Manuscript Published on 02 November 2019 | PP: 2006-2010 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11900982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1190.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recommender Frameworks are a regular examinations this is applied in stand-out areas. course concept is taken into consideration as a tried location that has not been tested absolutely. It blessings college understudies who want thought and similarly improves manner resolve administrative work for the length of the pre-enlistment span. a prime scope of the understudies do various distributions to enhance their reputation diploma. Be that as it is able to, the huge lion’s percentage of the understudies don’t understand which heading need to be taken first and after that later. The recommender structures made will assist understudies in highlighting slight productions basically as decreasing time to study guides in an effort to be taken. The proposed machine will reflect onconsideration on the benefactor tendency and guarantee that the productions directed are of their advantage and region. Understudies might not be capable see, proper heading as tested thru their little bit of leeway and region in which they could take into account.
Keywords: Idea Structures, KNN, LSTM, Fake Neural Gadget.
Scope of the Article: Deep Learning